adaptive fault tolerant qos abstract
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Adaptive Fault Tolerant QoS Control Algorithms for Maximizing
System Lifetime of Query-Based Wireless Sensor Networks
ABSTRACT:
Data sensing and retrieval in wireless sensor systems have a widespread application in
areas such as security and surveillance monitoring, and command and control in battlefields. In
query-based wireless sensor systems, a user would issue a query and expect a response to be
returned within the deadline. While the use of fault tolerance mechanisms through redundancy
improves query reliability in the presence of unreliable wireless communication and sensor
faults, it could cause the energy of the system to be quickly depleted. Therefore, there is an
inherent tradeoff between query reliability vs. energy consumption in query-based wireless
sensor systems. In this paper, we develop adaptive fault tolerant quality of service (QoS) control
algorithms based on hop-by-hop data delivery utilizing source and path redundancy, with the
goal to satisfy application QoS requirements while prolonging the lifetime of the sensor system.
We develop a mathematical model for the lifetime of the sensor system as a function of system
parameters including the source and path redundancy levels utilized. We discover that there
exists optimal source and path redundancy under which the lifetime of the system is
maximized while satisfying application QoS requirements. Numerical data are presented and
validated through extensive simulation, with physical interpretations given, to demonstrate the
feasibility of our algorithm design.
EXISTING SYSTEM:
Existing research efforts related to applying redundancy to satisfy QoS requirements in
query-based WSNs fall into three categories: traditional end-to-end QoS, reliability assurance,
and application specific QoS .
Traditional end-to-end QoS solutions are based on the concept of end-to-end QoS
requirements. The problem is that it may not be feasible to implement end-to-end QoS in WSNs
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due to the complexity and high cost of the protocols for resource constrained sensors. This
method does not consider the reliability issue.
Disadvantages:
o Complexity and high cost of the protocols for resource constrained sensors
o Does not consider the reliability issue.
o Does not consider energy issues.
o Data delivery such as reliability and timelines are not considered.
PROPOSED SYSTEM:
In this paper, we develop adaptive fault tolerant quality of service (QoS) control
algorithms based on hop-by-hop data delivery utilizing source and path redundancy, with the
goal to satisfy application QoS requirements while prolonging the lifetime of the sensor system.
We develop a mathematical model for the lifetime of the sensor system as a function of
system parameters including the source and path redundancy levels utilized. We discover
that there exists optimal source and path redundancy under which the lifetime of the system
is maximized while satisfying application QoS requirements.
Advantages:
o To applying redundancy to satisfy application specified reliability and timeliness
requirements for query-based WSNs.
o We develop the notion of path and source level redundancy
o Lifetime of the system is maximized.
o Timeliness, Multiple data delivery speed options.
o Reliability, Multi-path forwarding.
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MODULES:
General Approach
Software Fault
Data Aggregation
Forward Traffic
HARDWARE & SOFTWARE REQUIREMENTS:
HARDWARE REQUIREMENTS:
System : Pentium IV 2.4 GHz.
Hard Disk : 40 GB
Ram : 512 MB.
SOFTWARE REQUIREMENTS:
Operating system : Windows XP Professional.
Coding Language : C#.NET
IDE : Microsoft visual studio .Net 2008